How to save and extract role maps

Abstract

According to an exemplary embodiment of the present invention, a method for saving a roll map is provided. The method includes the steps of: transmitting compressed measurement data to a server, wherein the compressed measurement data is generated by processing measurement data collected by measuring an electrode sheet; modifying the compressed measurement data to generate modified measurement data; and saving the modified data, wherein the compressed measurement data includes a first measurement start coordinate, a first measurement end coordinate, a first representative value of a first interval defined by the first measurement start coordinate and the first measurement end coordinate, a second measurement start coordinate, a second measurement end coordinate, and a second representative value of a second interval defined by the second measurement start coordinate and the second measurement end coordinate, wherein the first measurement start coordinate and the second measurement start coordinate are the same.

Description

Technical Field

[0001] The present invention relates to a method for storing a roll map and a method for extracting a roll map. This application claims the benefit of Korean Application No. 10-2023-0102249, filed on August 4, 2023, which is hereby incorporated by reference in its entirety.

Background Art

[0002] Unlike primary batteries, secondary batteries can be charged and discharged multiple times. Secondary batteries are widely used as an energy source for various cordless devices such as handsets, notebook computers, and cordless vacuum cleaners. In recent years, due to improvements in energy density and economies of scale, the manufacturing cost per unit capacity of secondary batteries has decreased dramatically, and as the cruising range of battery electric vehicles (BEVs) has increased to a level comparable to that of fuel vehicles, the main use of secondary batteries has shifted from mobile devices to mobility.

[0003] Secondary batteries are manufactured through an electrode process, an assembly process, and an activation process. Among them, the electrode process is the most core process for determining the yield and performance of battery cells. The electrode process can include a coating process, a roll pressing process, and a slitting process. In the coating process, an active material and an insulating material can be applied onto the surface of a current collector. In the roll pressing process, the electrode can be pressed by a pressure roll. The roll pressing process can determine the density, performance, and surface quality of the electrode. In the slitting process, the electrode can be cut into a plurality of electrodes according to the design of the battery cell.

Summary of the Invention

Problems to be Solved by the Invention

[0004] The problem to be solved by the technical idea of the present invention is to provide a secondary battery manufacturing system capable of searching historical data of electrode manufacturing and a method for manufacturing a secondary battery. [Means for solving the problem]

[0005] According to an exemplary embodiment of the present invention for solving the above-mentioned problems, a method for saving a roll map is provided. The method includes the steps of: transmitting compressed measurement data to a server, wherein the compressed measurement data is generated by processing measurement data collected by measuring an electrode sheet; modifying the compressed measurement data to generate modified measurement data; and saving the modified data, wherein the compressed measurement data includes a first measurement start coordinate, a first measurement end coordinate, a first representative value of a first interval defined by the first measurement start coordinate and the first measurement end coordinate, a second measurement start coordinate, a second measurement end coordinate, and a second representative value of a second interval defined by the second measurement start coordinate and the second measurement end coordinate, wherein the first measurement start coordinate and the second measurement start coordinate are the same.

[0006] The above-mentioned server will perform the correction of the compressed measurement data.

[0007] The correction of the compressed measurement data described above includes replacing the first measurement end coordinate with the second measurement end coordinate.

[0008] The correction of the compressed measurement data described above includes replacing the first representative value with the second representative value.

[0009] According to an exemplary embodiment, a method for extracting a roll map is provided. The method includes the step of joining coordinate-related cell ID data and compressed measurement data to extract combined data, wherein the compressed measurement data includes a measurement start coordinate, a measurement end coordinate, and representative values ​​of measurements of the electrode sheet portion defined by the measurement start coordinate and the measurement end coordinate; and the coordinate-related cell ID data includes a cell ID and cell ID coordinates, which are the coordinates of an electrode matched to the cell ID, the electrode being formed by cutting the electrode sheet; and the coordinate-related cell ID data and the compressed measurement data are joined by an external join.

[0010] The above outer join is a left join based on the above coordinate-related cell ID data.

[0011] The above external join is a right-hand join.

[0012] The compressed measurement data includes missing portions, and in the combined data, the measurement start coordinates and measurement end coordinates of the missing portions of the compressed measurement data are null.

[0013] The above method further includes the step of modifying the combined data to generate the modified data described above.

[0014] Modifying the combined data as described above involves comparing the non-null start and end measurement coordinates with the corresponding cell ID coordinates in the coordinate-related cell ID data.

[0015] The step of modifying the combined data to generate the modified data includes finding a first measurement start coordinate and a first measurement end coordinate that define a first interval containing a first cell ID coordinate corresponding to the missing portion of the compressed measurement data.

[0016] The above-mentioned first cell ID coordinates are included in the above cell ID coordinates, the above-mentioned first measurement start coordinates are included in the above measurement start coordinates, and the above-mentioned first measurement end coordinates are included in the above measurement end coordinates.

[0017] The step of modifying the combined data to generate the modified data includes matching the first measurement start coordinate and the first measurement end coordinate to the first cell ID coordinate.

[0018] The first representative value for the first interval is matched to the first cell ID coordinate, and the first representative value is included in the representative value of the compressed measurement data. [Effects of the Invention]

[0019] According to exemplary embodiments of the present invention, traceability between the roll map generated in the electrode process and semi-finished products such as monocells can be improved. This can improve the reliability of secondary battery manufacturing.

[0020] The effects that can be obtained from exemplary embodiments of the present invention are not limited to those mentioned above, and other effects not mentioned can be clearly derived and understood by a person of ordinary skill in the art to which the exemplary embodiments of this disclosure belong from the following description. That is, unintended effects associated with carrying out exemplary embodiments of this disclosure can also be derived by a person of ordinary skill in the art from exemplary embodiments of this disclosure. [Brief explanation of the drawing]

[0021] [Figure 1] An exemplary embodiment of a secondary battery manufacturing system is shown. [Figure 2] This is a flowchart illustrating a data storage method according to an exemplary embodiment. [Figure 3] This is a flowchart illustrating a data joining method according to an exemplary embodiment.

Best Mode for Carrying Out the Invention

[0022] Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Before that, the terms and words used in this specification and the claims should not be construed as being limited to their ordinary or dictionary meanings, and should be construed as meanings and concepts that conform to the technical idea of the present invention based on the principle that the inventor can appropriately define the concept of the terms in order to explain his own invention in the best way.

[0023] Therefore, the embodiments described in this specification and the configurations shown in the drawings are only the most preferred embodiment of the present invention, and do not represent all of the technical ideas of the present invention. Therefore, there can be various equivalents and modifications that can replace them at the time of this application.

[0024] In addition, in the description of the present invention, when it is determined that a specific description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted.

[0025] Embodiments of the present invention are provided to more fully explain the present invention to an ordinary technician. Therefore, the shapes and sizes of the components in the drawings can be exaggerated, omitted, or shown schematically for a clearer explanation. Therefore, the sizes and ratios of each component do not fully reflect the actual sizes and ratios.

[0026] (First Embodiment) FIG. 1 shows a secondary battery manufacturing system 10 according to an exemplary embodiment.

[0027] Referring to FIG. 1, the secondary battery manufacturing system 10 can include an electrode process facility 100, an assembly process facility 200, and a roll map generator 300.

[0028] The electrode processing equipment 100 can be configured to perform processes for manufacturing secondary batteries. In the electrode processing equipment 100, the electrode processing is performed on an electrode sheet unwound from an electrode roll by an unwinder, and the electrode sheet can be wound back onto the electrode roll by a rewinder. Thus, the electrode processing can be a roll-to-roll process.

[0029] The electrode processing equipment 100 may include a first rotary encoder configured to sense the amount of electrode sheets fed in based on the amount of rotation of the unwinder, and a second rotary encoder configured to sense the amount of electrode sheets consumed based on the amount of rotation of the rewinder. The first rotary encoder may be capable of generating a feeding amount signal and may be configured to transmit the feeding amount signal to the controller 110. The first rotary encoder may be capable of generating a consumption amount signal and may be configured to transmit the consumption amount signal to the controller 110.

[0030] Electrode sheets can be processed by processing equipment. In one example, the processing equipment may include a coater, and an electrode slurry can be coated onto the electrode sheet. In another example, the processing equipment may include a pressure roll, and a roll pressing process can be performed on the electrode sheet coated with electrode slurry. In yet another example, the processing equipment may include a splicing die and a scrap port, and a portion of the electrode sheet can be scrapped. In yet another example, the processing equipment may include a slitting knife, and the electrode sheet can be separated into multiple electrode sheets.

[0031] The coating process involves applying a coating material, such as an electrode slurry, onto an electrode sheet. The electrode slurry may include an electrode active material, a conductive material, a binder, and a solvent. The electrode slurry can be provided by dissolving the electrode active material, conductive material, binder, etc., in a solvent. In the coating process, an insulating layer may be further coated at the boundaries of the surfaced lane of the electrode sheet. Here, the surfaced lane is the portion of the electrode sheet coated with the electrode slurry.

[0032] The roll pressing process involves passing electrode sheets coated with electrode slurry between two opposing pressure rolls. The pressure rolls flatten the electrode surface, thereby increasing the bonding force between the active material and the current collector.

[0033] To increase the production volume per line (e.g., GWh) of a secondary battery production facility, a coating process and a roll pressing process are performed on the wide electrode sheet ES. In a subsequent slitting process, the wide electrode sheet ES can be cut according to the specifications of the battery cell.

[0034] The electrode processing equipment 100 may include a controller 110 configured to control an unwinder, a rewinder, and processing equipment. Controller 110 and controller 210 (described later) may be PLCs (Programmable Logic Controllers). A PLC is a special form of microprocessor-based controller that uses programmable memory to store instructions and controls machines and processes by embodying functions such as logic, sequencing, timing, counting, and arithmetic. PLCs are easy to operate and program.

[0035] Controllers 110 and 210 may include a power supply, CPU, input interface, output interface, communication interface, and memory device. Controller 210 may be configured to supply power to other components of controllers 110 and 210, such as the CPU, input interface, output interface, communication interface, and memory device. The memory device may include a ROM (Read Only Memory) configured to store system programs such as an operating system, and a RAM (Random Access Memory) configured to store user programs and data such as I / O device status information, timers, counters, and other internal device values. The CPU may be configured to control communication between modules that embody logic and convert input signals into output operation signals. The CPU may operate based on system and user programs stored in the memory device. Based on the system and user programs, the CPU may be configured to write or read inspection and measurement data to or from the data area of ​​the memory device. Industrial equipment and production process conditions and data may be transmitted to the CPU via the input module. The results processed by the CPU may be transmitted to the actuator via the output module. The communication interface can be configured to send and receive data between controllers 110 and 210 and servers 310 and 350.

[0036] However, the controllers 110 and 210 are not limited to these, and may include any one of the following: a simple controller, a microprocessor, a complex processor such as a CPU or GPU, a processor composed of software, dedicated hardware, and firmware. The controllers 110 and 210 may also be embodied, for example, by a general-purpose computer or application-specific hardware such as a DSP (Digital Signal Processor), FPGA (Field Programmable Gate Array), and ASIC (Application Specific Integrated Circuit).

[0037] The controller 110 can be configured to receive input and exhaustion signals from the rotary encoder. This allows the controller 110 to determine the coordinates of the portion of the electrode sheet unwound by the unwinder and the portion of the electrode sheet wound up by the rewinder. The controller 110 can also be configured to determine the coordinates of events occurring on the electrode sheet based on the offset length.

[0038] Here, the offset length may be the length of the electrode sheet between the processing device, the measuring instrument, and the inspection device (described later) and the rewinder, or it may be the length of the electrode sheet between the processing device, the measuring instrument, and the inspection device and the unwinder.

[0039] Electrode process equipment may further include measuring instruments and inspection instruments. Measuring instruments and inspection instruments may include sensing units and processing units. Sensing units may be configured to generate measurement signals or inspection signals. These may include TDI (Time Delay and Integration) cameras, CMOS (Complementary Metal Oxide Semiconductor) image sensors, and TOF (Time of Flight) sensors. Sensing units may also include emitters and receivers configured to perform measurements using non-destructive signals such as ultrasound, microwaves, terahertz waves, and infrared light. Sensing units may also include analog and / or digital sensors such as color sensors, biosensors, chemical sensors, composition sensors, current and / or power meters, air quality sensors, gas sensors, Hall effect sensors, brightness level sensors, and light sensors. Sensing units may also include pressure sensors, temperature sensors, ultrasonic sensors, proximity sensors, door condition sensors, motion tracking sensors, humidity sensors, visible light sensors, infrared sensors, and cameras. In some cases, inspection instruments may consist only of sensing units.

[0040] A measuring instrument can be configured to collect measurement data, and a testing instrument can be configured to collect testing data. Raw measurement data may include profiles of physical quantities based on scanning. For example, measurement data may include thickness data and loading amount data of coating material on an electrode sheet. As a non-limiting example, a measuring instrument may include a web gauge and a thickness measuring instrument from Thermo Fisher Scientific.

[0041] Inspection data may include quality judgments and process events related to portions of the electrode sheet. For example, inspection data may include appearance data of the electrode sheet collected by an image-based inspection device such as a vision machine, dimensional data such as the width of the insulating material provided on the coating material and the overlap width between the coating material and the insulating material, mismatch data between the textured lane on the upper surface of the electrode sheet and the textured lane on the lower surface of the electrode sheet, data on breaks and seams of the electrode sheet, data on portions of the electrode sheet that have been sampled and inspected, data on portions of the electrode sheet that are scheduled to be scrapped, data on scrapped portions of the electrode sheet, data on the quality of the coating material and insulating material on the electrode sheet, data on reference points indicating the position of the electrode sheet, and defect data such as pinhole defects, crater defects, line defects, crack defects, side ring defects, island defects, fold defects, wrinkle defects, puncture defects, and indentation defects. Reference points may be formed at predetermined intervals on the electrode sheet, and the positions of other elements on the electrode sheet may be known based on the reference points. The inspection device may be one of the following: a color sensor, a seam sensor, a reference point sensor, or a vision machine.

[0042] The measurement and inspection data described above may be time-series data. Measurement and inspection data can be sorted temporally. Measurement and inspection data can be indexed by time. Measurement data may include measured values ​​and time values ​​(or multiple time values) matched to those measured values. Inspection data may include inspected values ​​and time values ​​(or multiple time values) matched to those inspected values. That is, measurement and inspection data can be stored based on the time at which the measurement and inspection were performed, and the measured values ​​in measurement data and the inspected values ​​in inspection data can be associated with time. The time values ​​in measurement and inspection data may, for example, be in timestamp format, but are not limited to this.

[0043] As an example, measurement data (e.g., electrode sheet loading amount data or electrode sheet thickness data) may have a series of measured values ​​and time values ​​associated with the series of loading amount values. Measured values ​​and time values ​​may, but are not limited to, one-to-one matching. Measured values ​​may also be matched many-to-one with a single timestamp representing the start point of the measurement. As another example, defect data may have values ​​indicating a defect and time values ​​associated with those values. Here, indicating a defect includes at least one of the following: presence or absence of a defect and / or type of defect.

[0044] The inspection data can be matched with coordinates by the controller 110. More specifically, the controller 110 can be configured to receive inspection data from the inspection device, thereby generating coordinate-related inspection data CID by matching the inspection data with coordinates. The coordinate-related inspection data CID can include a judgment value and coordinates matched to the judgment value. The coordinates may be a single coordinate or may include an inspection start coordinate and an inspection end coordinate to indicate a section of the electrode sheet corresponding to the judgment value.

[0045] The instrument's processor can be configured to receive coordinates from the controller 110 and associate the coordinates with the measurement data to generate coordinate-related measurement data. The coordinate-related measurement data may include a start coordinate indicating the section of the electrode sheet from which the measurement data was collected, an end coordinate, and raw measurement data matched to the start and end coordinates. That is, the raw measurement data can be collected from the section of the electrode sheet defined by the start and end coordinates. The processor can be configured to further generate compressed measurement data CMD, which includes representative values ​​of the raw measurement data and the start and end coordinates matched to the representative values ​​(e.g., the mean). The representative values ​​of the measurement data can be calculated from the raw measurement data collected from the section of the electrode sheet defined by the start and end coordinates. The compressed measurement data CMD and coordinate-related measurement data may also be generated by the controller 110 instead of the processor.

[0046] The assembly process equipment 200 can be configured to perform an assembly process. The assembly process equipment 200 can be configured, for example, to perform a lamination and stacking (L&S) process. As a result of the lamination process, monocells and halfcells can be provided. A monocell may include a positive electrode, a negative electrode, and a separator membrane. A halfcell may include a negative electrode and a separator membrane. In the stacking process, monocells and halfcells can be stacked vertically, thereby providing an electrode assembly.

[0047] The assembly process equipment 200 may be configured to perform a notching process. The notching process may form tabs on the electrode sheets and, if necessary, V-shaped grooves for cutting the electrode sheets. The notching process may form positive and negative electrode tabs. The notching process may also form cell IDs on the negative electrode tabs. The cell IDs may be formed by methods such as laser printing and ink printing. Thus, each negative electrode tab may contain a cell ID. Unlike the negative electrode tabs, the positive electrode tabs may not contain cell IDs to prevent defects.

[0048] The assembly process equipment 200 may include a positive electrode unwinder, a negative electrode unwinder, a separation membrane unwinder, an electrode cutter, a separation membrane cutter, a positive electrode rotary encoder, a negative electrode rotary encoder, a seam sensor, a cell ID reader 131, and a controller 210.

[0049] An unwinder can be configured to introduce rolled material into a secondary battery manufacturing system. More specifically, a positive electrode unwinder can be configured to unwind a positive electrode sheet from a positive electrode roll, a negative electrode unwinder can be configured to unwind a negative electrode sheet from a negative electrode roll, and a separator unwinder can be configured to unwind a separator membrane sheet from a separator membrane roll.

[0050] Each cell ID in the negative electrode tab can be configured to indicate the order of the negative electrode tab within each negative electrode sheet. Each cell ID in the negative electrode tab can indicate the order of the negative electrode tabs. The cell ID can include, for example, a barcode. The cell ID can include, for example, a two-dimensional barcode.

[0051] However, this is not limited to the cell ID, which may also include a symbol representing the order of the negative terminal tabs. The symbol in the cell ID may include, but is not limited to, Arabic numerals. The symbol in the cell ID may include any character that can provide information about the order of the negative terminal tabs.

[0052] A positive electrode cutter can be configured to cut a positive electrode sheet. Multiple positive electrodes can be provided by cutting the positive electrode sheet. A negative electrode cutter can be configured to cut a negative electrode sheet. Multiple negative electrodes can be provided by cutting the negative electrode sheet.

[0053] As described later, the controller 210 can control the operation of the positive electrode cutter and the negative electrode cutter, and can be configured to count the cuts of the positive electrode sheet by the positive electrode cutter and the cuts of the negative electrode sheet by the negative electrode cutter. For example, the controller 210 can be configured to receive a first cut count signal from the positive electrode cutter and a second cut count signal from the negative electrode cutter.

[0054] A separation membrane cutter can be configured to cut a separation membrane sheet. The laminated structure of the separation membrane sheet, positive electrode, and negative electrode before cutting the separation membrane sheet can be compressed by a nip roll (not shown) or the like. Cutting the separation membrane sheet provides a monocell containing the positive electrode, negative electrode, and separation membrane.

[0055] The rotary encoder can be configured to sense the amount of rotation of the positive and negative unwinders. The rotary encoder can be configured to sense the amount of positive sheet unwound from the positive roll by the positive unwinder and the amount of negative sheet unwound from the negative roll by the negative unwinder. This allows the rotary encoder to be configured to generate a first feed amount signal indicating the length of positive sheet unwound by the positive unwinder (i.e., the amount of positive sheet fed in), and a second feed amount signal indicating the length of negative sheet unwound by the negative unwinder (i.e., the amount of negative sheet fed in). The rotary encoder can be configured to transmit the first and second feed amount signals to a controller.

[0056] The seam sensing sensor can be configured to sense the seam between the positive and negative electrode sheets. Here, the positive and negative electrode sheets may contain a seam when the positive and negative electrode rolls are swapped (i.e., when subsequent positive and negative electrode rolls are loaded into the positive and negative electrode unwinders).

[0057] The seam detection sensor may, for example, be a color sensor, but is not limited to that. The seam detection sensor can be configured to generate a seam detection signal. The seam detection signal can be transmitted to a controller.

[0058] A cell ID reader can be configured to sense cell IDs. A cell ID reader can be configured to read the sequence indicated by the cell IDs. A cell ID reader may be, for example, a BCR (Bar Code Reader). A cell ID reader may also be an OCR (Optical Character Reader). A cell ID reader can be configured to generate a cell ID sensing signal based on the sensing of cell IDs. A cell ID reader can be configured to transmit the cell ID sensing signal to the controller 210.

[0059] The controller 210 can be configured to control elements of the assembly process equipment 200, such as an unwinder, a positive electrode cutter, a negative electrode cutter, and a separation membrane cutter. The controller 210 can be configured to determine the coordinates within the positive electrode sheet of a portion of the positive electrode sheet unwound from the unwinder, based on either the input amount calculated based on the cut count of the positive electrode cutter or the input amount of the positive electrode sheet sensed by the rotary encoder. The controller 210 can also be configured to determine the coordinates within the negative electrode sheet of a portion of the negative electrode sheet unwound from the unwinder, based on either the input amount calculated based on the cut count of the negative electrode cutter or the input amount of the negative electrode sheet sensed by the rotary encoder.

[0060] The controller 210 can be configured to determine the coordinates of events occurring on the positive electrode sheet (or multiple positive electrodes) based on the amount of positive electrode sheet fed and the offset length, where the offset length is the distance between the portion of the positive electrode sheet where the process event (e.g., inspection by an inspection device and processing by a processing device) occurred and the unwinder.

[0061] The controller 210 can be configured to determine the coordinates of events occurring on the negative electrode sheet (or multiple negative electrodes), such as sensing a cell ID, based on the amount of negative electrode sheet fed and the offset length. Here, the offset length is the distance between the portion of the negative electrode sheet where the process event occurred and the unwinder.

[0062] The controller 210 can be configured to collect coordinate-related cell ID data CIDD based on the cell ID sensing signal, the amount of positive electrode sheet inserted, and the amount of negative electrode sheet inserted. The controller 210 can be configured to match the coordinates of the negative electrode, sensed by the cell ID reader, with the cell ID sensing signal in order to collect coordinate-related cell ID data CIDD. The controller 210 can be configured to match the coordinates of the positive electrode coupled with the negative electrode, sensed by the cell ID reader, with the cell ID sensing signal in order to collect coordinate-related cell ID data CIDD. As a result, the coordinate-related cell ID data CIDD can include the cell ID, the coordinates of multiple negative electrodes matched to it, and the coordinates of multiple positive electrodes.

[0063] For matching the cell ID with the coordinates of the positive and negative electrode sheets, the lot number of the positive roll from which the positive electrode sheet is unwound and the lot number of the negative electrode roll from which the negative electrode sheet is unwound must be determined. According to an exemplary embodiment, the controller 210 can update the lot numbers of the positive and negative electrode rolls, respectively, based on the seam sensing signals of the positive and negative electrode sheets. This allows the coordinates of the negative and positive electrode sheets to be reset based on the seam sensing signals. The offset length of the seam sensor can be used for updating the lot numbers and resetting the coordinates of the negative and positive electrode sheets. Here, the offset length may be the length of the positive or negative electrode sheet between the unwinder and the seam sensor.

[0064] More specifically, when a new positive or negative electrode roll is loaded into the unwinder, the positive electrode roll must be joined to the remaining positive electrode sheet of the previous lot using a seam in order to continue the roll-to-roll process. For example, the portion of the positive electrode sheet following a seam in the positive electrode sheet that is sensed for the first time after a new lot of positive electrode rolls is loaded into the unwinder can be determined to have been unwound from the newly loaded positive electrode roll. Similarly, the portion of the negative electrode sheet following a seam in the negative electrode sheet that is sensed for the first time after a new lot of negative electrode rolls is loaded into the unwinder can be determined to have been unwound from the newly loaded negative electrode roll.

[0065] The roll map generator 300 may include servers 310, 320, 330, 340, 350, and 360. The roll map generator 300 may be configured to generate a roll map based on data collected or generated by the electrode process equipment 100 and the assembly process equipment 200 (e.g., coordinate-related inspection data CID, compressed measurement data CMD, and coordinate-related cell ID data CIDD).

[0066] Server 310 can be configured to relay communication between Controller 110 and Server 320. Server 310 could be, for example, a communication server. The language and protocol of Server 320 may differ from those of Controller 110. For example, the language of Server 320 could be SQL, and the language of Controller 110 could be a ladder diagram. Server 310 can also be configured to convert data collected by Controller 110, such as coordinate-related cell ID data (CIDD), into the language of Server 320, and record the converted data in Server 320's database. This allows coordinate-related inspection data (CID) and compressed measurement data (CMD) to be recorded in Server 320's database.

[0067] As a non-restrictive example, server 320 may be a Manufacturing Execution System (MES). Server 320 may be configured to input, process, output, and communicate data necessary for electrode manufacturing processes such as coating, roll pressing, and slitting processes.

[0068] Server 320 can be configured to generate a roll map of the electrode process, where the roll map can represent process events on the positive electrode sheet and the negative electrode sheet based on coordinates indicating their positions on the positive electrode sheet and the negative electrode sheet. Processes for manufacturing a secondary battery can be performed on the positive electrode sheet and the negative electrode sheet as described above.

[0069] A roll map can include event data representing events in the roll-to-roll process of electrode sheets. Event data is generally time-series data because it occurs as the process progresses. Therefore, process event data can include a value representing the event and a time value matched to it. Time-series data can be temporally ordered. Temporal ordering is a key characteristic of time-series data, where events are organized in the order in which they occur and arrive for processing. That is, time-series data can be stored based on when an event occurred (i.e., when inspection and measurement are performed, or when a process action is taken), and events can be matched with time values.

[0070] A roll map represents the history of processes performed on the positive and negative electrode sheets and can include coordinate-related data. This allows the roll map to track feedback, feedforward, and the manufacturing process of secondary batteries.

[0071] The manufacturing of secondary batteries involves a series of distinct processes, where the leading process influences the following process. Feedforward, in this context, refers to correcting the following process based on data generated according to the results of the leading process. However, it is difficult to reflect the time-series data of the leading process in the following process if the data is not directly matched with real-world workpieces, semi-finished products, and finished products. Here, "workpiece" refers to an item provided as a result of each process, such as a positive electrode sheet and a negative electrode sheet that have undergone coating, roll pressing, and slitting processes. A semi-finished product can refer to one of the following: a cut separator membrane, an electrode, or an assembly thereof. A semi-finished product may also be a structure including a housing and an electrode assembly housed within the housing (in some cases, the structure may further include an electrolyte). A finished product refers to an item that has been processed by an activation process to be operational as a secondary battery. The above definitions of workpieces, semi-finished products, and finished products relate to one aspect of them and do not preclude the usual definitions of them.

[0072] For feedforward, time-series data needs to be associated with the locations of real-world workpieces, parts, semi-finished products, and finished products. In a roll map, time-series data, such as measurement data, can be associated with coordinate data based on the movement of the positive and negative electrode sheets (i.e., either input or consumption). The roll map can associate time-series data with coordinate data that includes coordinates indicating the locations of real-world workpieces, parts, semi-finished products, and finished products. This allows roll map generation and feedforward based on roll maps to achieve improved production efficiency and quality by quantifying and objectifying aspects of the process that were previously dependent on the arbitrary actions of the worker.

[0073] Roll maps can be generated on a lot basis. A lot is a production unit in a roll-to-roll process, and the electrode rolls loaded into the unwinder are an example of a lot. This allows the server 320 to be configured to store roll maps of the electrode rolls.

[0074] Server 330 can be configured to store and process inspection data of electrode sheets. Server 330 can manage the quality of electrode sheet processing by continuously monitoring the processing of electrode sheets based on the inspection data. According to an exemplary embodiment, server 330 may be a Statistical Process Controller (STC). Server 330 can identify problem conditions in a timely manner and provide alarms to operators before potential problems occur by collecting and analyzing manufacturing data in near real time.

[0075] Server 340 can be configured to store data from servers 320 and 330. Server 340 can be configured to store coordinate-related inspection data (CID) and compressed measurement data (CMD). If server 320 is an MES and server 330 is an SPC, it may be unsuitable for long-term storage of coordinate-related inspection data (CID) and compressed measurement data (CMD). Server 340 could be, for example, a data warehouse and can store coordinate-related inspection data (CID) and compressed measurement data (CMD) for long periods based on the product's quality assurance period, etc.

[0076] Server 350 can be configured to relay communication between Controller 210 and Server 360. Server 350 could be, for example, a communication server. The language and protocol of Server 360 may differ from those of Controller 210. For example, the language of Server 360 could be SQL, and the language of Controller 210 could be a ladder diagram. Server 350 can also be configured to translate data collected by Controller 210, such as coordinate-related cell ID data (CIDD), into the language of Server 360 and record the translated data in Server 360's database.

[0077] Server 360 can be configured to store coordinate-related cell ID data (CIDD). It can also be configured to process the coordinate-related cell ID data (CIDD). Server 360 can be configured to transmit the coordinate-related cell ID data (CIDD) to Server 340. Server 340 can store the coordinate-related cell ID data (CIDD) for extended periods, such as based on the product's quality assurance period. This allows for tracking of the manufacturing process according to the product's lifecycle.

[0078] Furthermore, as described later, the roll map is generated cumulatively for the workpieces, parts, semi-finished products, and finished products of each unit process, enabling the tracking of process history for shipped products (e.g., battery cells, battery modules, or battery packs). A monocell includes a cell ID formed on the negative electrode tab, and the server 360 can store the lot numbers and coordinates of the positive and negative electrodes contained in the monocell matched to the cell ID. In other words, the positive and negative electrodes contained in the actual battery cell can be associated with the roll map by the cell ID. This allows for the retrieval of a history of the collective manufacturing data for a monocell (or a battery cell containing a monocell) if an event such as a quality problem occurs in a monocell that has already been shipped, based on the cell ID.

[0079] In other words, the server 340 can provide matching between the electrode process roll map data (i.e., compressed measurement data CMD, coordinate-related inspection data CID, and coordinate-related cell ID data CID). The server 340 can be configured to store, process, modulate, and transmit the electrode process roll map data in order to provide matching between the electrode process roll map data and coordinate-related cell ID data CID.

[0080] Servers 310, 320, 330, 340, 350, and 360 can be embodied in hardware, firmware, software, or combinations thereof. For example, servers 310, 320, 330, 340, 350, and 360 can include computing devices such as workstation computers, desktop computers, laptop computers, and tablet computers. Servers 310, 320, 330, 340, 350, and 360 can also include any one of the following: a simple controller, a microprocessor, a complex processor such as a CPU or GPU, a processor composed of software, dedicated hardware, and firmware. Servers 310, 320, 330, 340, 350, and 360 can be embodied, for example, in general-purpose computers or application-specific hardware such as DSPs (Digital Signal Processors), FPGAs (Field Programmable Gate Arrays), and ASICs (Application Specific Integrated Circuits).

[0081] Servers 310, 320, 330, 340, 350, and 360 can include physical or cloud servers. Servers 310, 320, 330, 340, 350, and 360 can provide data and analysis results to workers through various frameworks. The frameworks can include protocols that support data transmission so that client devices can visualize data through a user interface and provide updated visualizations when new data is calculated by servers 310 and 320. The protocols that support the above data transmission can use HTML, JavaScript, and / or JSON.

[0082] Servers 310, 320, 330, 340, 350, and 360 can include a variety of APIs (Application Programming Interfaces) for storing data in databases and other data management tools. These APIs can also be used to retrieve data in databases of various data management systems. These data management systems can provide access to databases, pull data from them, retrieve data, and generate metrics. Here, metrics are tools for visualizing data. Metrics include time-series generated measurements and can be used for application monitoring and generating status alerts.

[0083] According to some embodiments, the operation of servers 310, 320, 330, 340, 350, and 360 can be embodied as instructions stored on a machine-readable medium that can be read and executed by one or more processors. Here, the machine-readable medium may include any mechanism for storing and / or transmitting information in a form readable by a machine (e.g., a computing device). For example, the machine-readable medium may include ROM (Read Only Memory), RAM (Random Access Memory), magnetic disk storage medium, optical storage medium, flash memory, electrical, optical, acoustic or other forms of radio signals (e.g., carrier waves, infrared signals, digital signals, etc.) and any other signals.

[0084] Servers 310, 320, 330, 340, 350, and 360 can consist of firmware, software, routines, and instructions for performing the operations described above, or any of the processes described below. For example, servers 310, 320, 330, 340, 350, and 360 can be instantiated in memory.

[0085] However, this is for illustrative purposes only, and the operation of servers 310, 320, 330, 340, 350, and 360 described above can also be triggered by other devices that execute computing devices, distributed computing devices, processors, firmware, software, routines, and instructions, etc.

[0086] The secondary battery manufacturing system 10 can embody a plug-in architecture along with an API for data acquisition to provide plug-and-play connectivity for processing equipment, inspection equipment, and measuring equipment. This allows resources at specific process steps and sites to be easily transferred to other processes and sites, or new resources to be easily introduced at each process step and site.

[0087] The data network between elements of the secondary battery manufacturing system 10 can include a variety of communication channels, including unidirectional, bidirectional wired, and wireless communication. For example, the data network can include industrial protocol networks such as OPC, Modbus, and ProfiNet. The communication channel may be dedicated conduit communication such as USB (Universal Serial Bus), IEEE 802 (Ethernet), IEEE 1394 (FireWire), or other high-speed data communication standards.

[0088] (Second Embodiment: Method) Figure 2 is a flowchart illustrating a data storage method according to an exemplary embodiment.

[0089] Referring to Figures 1 and 2, compressed measurement data CMD can be transmitted at P110. Compressed measurement data CMD can be transmitted from server 330 to server 340.

[0090] Table 1 shows an example of compressed measurement data CMD. In Table 1, the compressed measurement data CMD is displayed in a table format; however, this is for illustrative purposes only and does not limit the technical concept of the present invention in any way. The compressed measurement data CMD can also be transmitted and stored, for example, in JSON format.

[0091] [Table 1]

[0092] Electrode sheet measurements are performed on the electrode sheet as it moves in the machine direction. Electrode sheet measurements can also be performed by scanning the electrode sheet transversely. This means that the start and end coordinates of one scan may differ from those of subsequent scans. For example, the start coordinate of one scan may be smaller than the end coordinate, the start coordinate of a subsequent scan may be smaller than the end coordinate, and the end coordinate of one scan may be smaller than the start coordinate of a subsequent scan. The end coordinate of one scan may also be the same as the start coordinate of a subsequent scan. In Table 1, however, the start coordinates of the first section coincide with the start coordinates of the second section that follows the first section. Such errors can be called data duplication. Data duplication may be caused by problems with compressed measurement data CMD transmission or by problems with coordinate reset (or update) of the measuring instrument and controller 110. In this case, in addition to the unclear start coordinates of the second measurement section, the end coordinates of the first measurement section may also be unclear.

[0093] Next, on P120, the compressed measurement data CMD can be modified. The compressed measurement data CMD can be modified by server 340, thereby eliminating data duplication in the compressed measurement data CMD. Modified measurement data can be generated by modifying the compressed measurement data. Table 2 shows the modified measurement data.

[0094] [Table 2]

[0095] In Table 1, the first interval is included in the second interval. If there is a problem with the coordinate reset of the measuring instrument and / or controller 110, the measurement end coordinate of the first interval is unclear, and as a result, in the case of the representative value "X" in Table 1, the reliability of the calculated measurement start and end coordinates of the electrode sheet portion is low, making it unsuitable for use as a representative value. On the other hand, the measurement start and end coordinates of the second interval are clear. Therefore, the second interval includes representative values ​​calculated from known measurement start and end coordinates. According to an exemplary embodiment, the server 340 can replace the measurement start coordinate, measurement end coordinate and representative value of the first interval with the measurement start coordinate, measurement end coordinate and representative value of the second interval. According to an exemplary embodiment, by synchronizing the measurement start coordinate, measurement end coordinate and representative value of the first interval with the second interval, errors due to data duplication can be prevented and the reliability of secondary battery tracking can be improved.

[0096] Next, the corrected measurement data can be saved on P130. The corrected measurement data can then be saved on server 340.

[0097] (Third Embodiment: Method) Figure 3 is a flowchart illustrating a data joining method according to an exemplary embodiment.

[0098] Referring to Figures 1 and 2, at P210, coordinate-related cell ID data CIDD and compressed measurement data CMD can be combined. The combination of coordinate-related cell ID data CIDD and compressed measurement data CMD can be performed by server 340. Server 340 can store coordinate-related cell ID data CIDD and compressed measurement data CMD. Server 340 can be configured to combine coordinate-related cell ID data CIDD and compressed measurement data CMD to generate combined data in response to API requests from client devices. Server 340 can be configured to transmit a URL (Uniform Resource Locator) (or schema) containing source code for displaying the combined data to the client device to the client device.

[0099] Table 3 shows the inner join between coordinate-related cell ID data (CIDD) and compressed measurement data (CMD) in a comparative example, and Table 4 shows the outer join between coordinate-related cell ID data (CIDD) and compressed measurement data (CMD) in an exemplary embodiment.

[0100] [Table 3]

[0101] In Table 3, the portion of the coordinate-related measurement data corresponding to cell IDs "AA" and "DD" may be missing due to data transmission errors or other reasons. In this case, the loss of samples may induce data distortion, and the loss of compressed measurement data itself may not be recognized.

[0102] [Table 4]

[0103] In Table 4, the electrode process roll map data (e.g., compressed measurement data CMD and coordinate-related inspection data CID) and coordinate-related cell ID data CIDD are joined around the coordinate-related cell ID data CIDD. As an unrestrictive example, the join of coordinate-related cell ID data CIDD and compressed measurement data CMD may be a left join. In other examples, the join of coordinate-related cell ID data CIDD and compressed measurement data CMD may be a right join. In the joined data, null may be entered for missing data. In the joined data, missing data may have any value that identifies the missing data, including special characters such as "-", "*", "@", and "#".

[0104] Next, on P220, any missing parts of the combined data can be corrected. The combined data can be corrected by server 340, thereby generating the corrected data. Table 5 shows the combined data and the corrected data generated by correcting the combined data.

[0105] [Table 5]

[0106] Correcting missing data in the compressed measurement data CMD may include comparing the measurement start and end coordinates of the intact portion of the compressed measurement data (i.e., the portion successfully transmitted to server 340) with the cell ID coordinates of the coordinate-related cell ID data CIDD. More specifically, the correction of the combined data may involve finding a pair of measurement start and end coordinates that includes the cell ID coordinates corresponding to the missing portion of the compressed measurement data CMD, such as "0.4" and "0.7" in Table 5.

[0107] In Table 5, the cell ID coordinate "0.4" matched to cell ID "AA" and the cell ID coordinate "0.7" matched to cell ID "DD" are included in the interval defined by the measurement start coordinate "0.4" and measurement end coordinate "3.9" matched to cell ID "BB". As a result, in the corrected data, cell ID "AA" and its matched cell ID coordinate "0.4" can be matched with the measurement start coordinate "0.4", the measurement end coordinate "3.9", and the representative value of the interval defined by them. Also, in the corrected data, cell ID "DD" and its matched cell ID coordinate "0.7" can be matched with the measurement start coordinate "0.4", the measurement end coordinate "3.9", and the representative value of the interval defined by them.

[0108] The generation of the corrected data may be performed in response to a request from a client device, or it may be performed automatically in response to a request from a client device to query the combined data.

[0109] The present invention has been described in more detail above with reference to the drawings and embodiments. However, the configurations described in the drawings or embodiments described herein are merely one embodiment of the present invention and do not represent the entire technical concept of the present invention. Therefore, there may be various equivalents and modifications that can be substituted for them at the time of filing. [Explanation of symbols]

[0110] 10. Secondary battery manufacturing system 100 Electrode process equipment 110 Controller 200 Assembly process equipment 210 Controllers 300 Role Map Generator Servers 310, 320, 330, 340, 350, 360

Claims

1. A step of transmitting compressed measurement data to a server, wherein the compressed measurement data is generated by processing measurement data collected by measuring an electrode sheet. A step of modifying the compressed measurement data to generate corrected measurement data, The steps include saving the modified data, The compressed measurement data includes a first measurement start coordinate, a first measurement end coordinate, a first representative value of the first interval defined by the first measurement start coordinate and the first measurement end coordinate, a second measurement start coordinate, a second measurement end coordinate, and a second representative value of the second interval defined by the second measurement start coordinate and the second measurement end coordinate, and A method for saving a roll map in which the first measurement start coordinate and the second measurement start coordinate are the same.

2. The method for saving a role map according to claim 1, wherein the correction of the compressed measurement data is performed by the server.

3. The method for saving a roll map according to claim 1, wherein the correction of the compressed measurement data includes replacing the first measurement end coordinates with the second measurement end coordinates.

4. A method for saving a roll map according to claim 1, wherein the correction of the compressed measurement data includes replacing the first representative value with the second representative value.

5. The process includes the step of combining coordinate-related cell ID data and compressed measurement data in order to extract the combined data, The compressed measurement data includes a measurement start coordinate, a measurement end coordinate, and a representative value of the measurement of the electrode sheet portion defined by the measurement start coordinate and the measurement end coordinate. The aforementioned coordinate-related cell ID data includes a cell ID and cell ID coordinates which are the coordinates of an electrode matched to the cell ID, and the electrode is formed by cutting the electrode sheet, and A method for extracting a role map, wherein the coordinate-related cell ID data and the compressed measurement data are joined by an external join.

6. The method for extracting a role map according to claim 5, wherein the external join is a left join based on the coordinate-related cell ID data.

7. The method for extracting a role map according to claim 5, wherein the external join is a right join.

8. The compressed measurement data includes missing portions, A method for extracting a roll map according to claim 5, wherein in the combined data, the measurement start coordinate and measurement end coordinate of the missing portion of the compressed measurement data are null.

9. The step further includes modifying the combined data to generate corrected data, The method for extracting a role map according to claim 5, wherein correcting the combined data includes comparing the non-null measurement start coordinates and measurement end coordinates with the cell ID coordinates of the coordinate-related cell ID data.

10. The step of modifying the combined data to generate the modified data is: This includes finding a first measurement start coordinate and a first measurement end coordinate that define a first interval including a first cell ID coordinate corresponding to the missing portion of the compressed measurement data, The first cell ID coordinates are included in the cell ID coordinates, The first measurement start coordinate is included in the measurement start coordinate, and The first measurement end coordinate is a method for extracting the roll map according to claim 9, which is included in the measurement end coordinate.

11. The step of modifying the combined data to generate the modified data is: A method for extracting a role map according to claim 10, comprising matching the first cell ID coordinates with the first measurement start coordinates and the first measurement end coordinates.

12. The first representative value of the first interval is matched to the first cell ID coordinate, and A method for extracting a role map according to claim 11, wherein the first representative value is included in the representative value of the compressed measurement data.

Images